If you're already using the AWS stack and you need a NoSQL database, then DynamoDB might be right for you. Mongo DB works in the form of replicating all the instances in the entire server which is not done for single database level whereas Apache Cassandra has replication factor that defines the number of copies of data across different machines to receive multiple copies of data to maintain fault tolerance and high availability. For this post, we use the DynamoDB home page to review some of the basics. Users access these apps from multiple geographic regions. So, now we know what NoSQL is, and what both AWS DynamoDB and MongoDB are, let’s take a look at some of the key differences between these two NoSQL database offerings. I should preface this by saying I do not have production experience with DynamoDB, so this is largely based on its features and capabilities as reported in the media and various tech blogs. Google Cloud Datastore, MongoDB, Amazon SimpleDB, MySQL, and Amazon S3 are the most popular alternatives and competitors to Amazon DynamoDB. If you're already using the AWS stack and you need a NoSQL database, then DynamoDB might be right for you. MongoDB is developed by MongoDB Inc, it has other options than just the MongoDB Open Source Software we commonly use. Real-time refers to the specific case where data is served as soon as it is generated. "High scalability" is the primary reason why developers choose Google Cloud Datastore. Again, since there is an open-source version, it is possible to run test and dev instances at a lower cost than production. Mongo DB cluster contains different components such as shard, mongos and config servers to store metadata information and configuration settings details whereas Apache. In Cassandra, writes are cheaper than reads. Cassandra vs MongoDB; Redis vs MongoDB; CouchDB vs MongoDB; In this post, we'll see how Amazon's DynamoDB compares to MongoDB. Cassandra is implemented as a wide column store (you can loosely think of it as a key -> key -> value store) and DynamoDB is a pure key value store. Since data models in NoSQL databases are typically optimized for queries and not for reducing data duplication, NoSQL databases can be … Both Cassandra and DynamoDB has variety of tangible differences when it comes to Data structure. Cassandra is a wide-column store rather than a key-value store, so functionally it’s actually more similar to Bigtable rather than DynamoDB. In terms of performance scalability and the features, Apache Cassandra can be considered the best database in the case of large amounts of data to be handled and in terms of query execution speed and optimization. AWS DynamoDB: Azure Cosmos DB: ObjectRocket for MongoDB: Summary: A flexible, NoSQL database service that supports document and key-value store models for all applications Summary: Offers multiple NoSQL choices including key-value, graph, column-family, and document data in one service Summary: Comprehensive service that manages MongoDB, a NoSQL document … MongoDB vs Cassandra is another frequently compared NoSQL database. Mongo DB supports multiple cross-platform operating systems such as Linux, Solaris, Windows, BSD, OS X, etc. Cassandra vs DynamoDB. And with built-in distributed cache and native distributed transactions, a separate in-memory cache and a separate RDBMS are no longer needed. Cassandra vs. MongoDB vs. Hbase: A Comparison of NoSQL Databases; #Comparison ; Cassandra vs. MongoDB vs. Hbase: A Comparison of NoSQL Databases. Apache Cassandra is fully Free and Open Source Software which provides scalability. Setup. For example, it supports only one numeric type and does not support dates. DynamoDB’s advantages are: easy start; absence of the database management burden; sufficient flexibility, availability and scalability; in-built metrics for monitoring; encryption of data at rest. Here are examples of companies using these databases: Globally distributed app is a specific case with regions spread across multiple continents. You may also have a look at the following articles MongoDB vs Cassandra to learn more –, MongoDB Training Program (4 Courses, 2 Projects). Cassandra latency can be sub-millisecond if you correctly model your data and tune the requests and system. Cassandra a No SQL database’s main objectives are such as simple design structures, high availability and horizontal scaling, etc. Mongo DB architecture is designed in such a way that it balances the data automatically using its inbuilt feature in a shared cluster when the data grows as per requirement whereas Apache Cassandra is wide column based storage architecture. Once again, from the home page: Its flexible data model, reliable performance, and automatic scaling of throughput capacity make it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. Cassandra X exclude from comparison: HBase X exclude from comparison: MongoDB X exclude from comparison; Description: Wide-column store based on ideas of BigTable and DynamoDB Optimized for write access: Wide-column store based on Apache Hadoop and on concepts of BigTable Mongo DB stores data in such a way that the data is stored in BSON files on disk whereas Apache Cassandra Node stores the data in it and its data centers consist of all the nodes. MongoDB can be hosted anywhere – any public or private cloud, or on premises datacenter. We examine the development, operational and financial consequences of working around the limitations of DynamoDB when attempting to “force-fit” for this use case. Apache Cassandra is an open-source and freely distributed No-SQL database management system developed and designed to handle large-scale data across distributed commodity servers. Cassandra’s main advantages are: lightning speed of writes and reads; constant availability; SQL-like Cassandra Query Language instead of a complex DynamoDB’s API; cross-data-center replication; linear scalability and high performance. Finally, we compare and contrast alternatives such as MongoDB, Apache Cassandra and YugaByte DB, a Cassandra & Redis compatible cloud native database. MongoDB Vs DynamoDB What is MongoDB? Understanding the performance behavior of a NoSQL database like Apache Cassandra ™ under various conditions is critical. It supports cross-platform Operating System Cassandra database provides high availability and zero single points of failure. Cassandra, on the other hand, offers a fairly traditional table structure with rows and columns. For fast growing geo-distributed applications such as mobile, web, gaming, ad tech, and IoT, YugaByte DB was built ground up to satisfy the primary development and operational requirements. Compared to relational databases, NoSQL databases support powerful queries and transactions by following ACID (Atomicity, Consistency, Isolation, and Durability) properties. MongoDB can also be used as a file system. What use cases are suitable for DynamoDB? Previously we compared DynamoDB and MongoDB.MongoDB vs Cassandra is another frequently compared NoSQL database. Compared to MongoDB, DynamoDB has limited support for different data types. YugaByte DB is yet another emerging alternative. DynamoDB makes use of attributes, items, and tables as its core parts for users to often work with. Cassandra - A partitioned row store. © 2020 - EDUCBA. Again DynamoDB users can configure read operations, but this will be an additional charge (which almost doubles the cost of the read and also it adds latency to it. For several use cases, Apache Cassandra can allow a significant cost saving over DynamoDB, especially in case of workloads which are write-heavy. MongoDB was licensed under Apache License. Both DynamoDB and MongoDB work well in most situations. Also, DynamoDB employs primary keys in exclusively identifying the individual item in a table. Mongo DB has various licensing versions too. It was developed by MongoDB Inc. Evan Klein. In this post, we look beyond Amazon’s marketing claims to explore how well DynamoDB satisfies the core technical requirements of fast growing geo-distributed apps with low latency reads, a common use case found in today’s enterprises. You can also index the property of any object at any level of the hierarchy – this is strikingly powerful! 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